Evidence map›Paper›PMID 24436238›Full record

SynthesisStroke2014

Predicting stroke through genetic risk functions: the CHARGE Risk Score Project.

Carla A Ibrahim-Verbaas, Myriam Fornage, Joshua C Bis, Seung Hoan Choi, Bruce M Psaty, James B Meigs, Madhu Rao, Mike Nalls, Joao D Fontes, Christopher J O'Donnell and 35 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Stroke, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. A systematic review of the status and methodological considerations for estimating risk of first ever stroke in the general population.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
  2. Guideline
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Polygenic Risk, Midlife Life's Simple 7, and Lifetime Risk of Stroke.Journal of the American Heart Association · 2022
    Article
  12. Article
  13. Article
  14. A Novel Afrocentric Stroke Risk Assessment Score: Models from the Siren Study.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2021
    Article
  15. Article
  16. Article
  17. Article
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  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

45 authors at 4 institutions in 2 countries.

Carla A Ibrahim-VerbaasFrom the Departments of Epidemiology (C.A.I.-V., P.J.K., N.A., R.G.W., A.D., A.H., A.G.U., C.M.v.D.), Neurology (C.A.I.-V., P.J.K., R.G.W., M.A.I.), Internal Medicine (A.G.U.), and Radiology (M.A.I.), Erasmus University Medical Center, Rotterdam, The Netherlands; Center for Medical Systems Biology, Leiden, The Netherlands (C.A.I.-V., N.A., C.M.v.D.); Institute for Molecular Medicine (M.F.) and Human Genetics Center (M.F., E.B.), University of Texas Health Science Center at Houston; Cardiovascular Health Research Unit (J.C.B., B.M.P.) and Departments of Medicine (J.C.B., B.M.P.), Epidemiology (B.M.P., S.R.H., W.T.L.), Health Services (B.M.P.), Biostatistics (K.R.), and Neurology (W.T.L.), University of Washington, Seattle; Group Health Research Institute, Group Health Cooperative, Seattle, WA (B.M.P.); Department of Biostatistics, Boston University School of Public Health, MA (S.H.C., A.L.D., S.D., L.X., A.B., P.A.W.); Department of Neurology (S.H.C., A.L.D., S.D., L.X., A.B., P.A.W., S.S.) and Cardiology section, Whitaker Cardiovascular Institute (J.D.F.), Boston University School of Medicine, MA; The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA (S.H.C., J.D.F, C.J.O., C.S.F., A.L.D., S.D., L.X., A.B., P.A.W., S.S.); Department of Medicine, Harvard Medical School General Medicine Division (J.B.M.), Cardiovascular Research Center and Cardiology Division (S.K.), and Center for Human Genetic Research (S.K.), Massachusetts General Hospital, Boston; Division of Nephrology/Tufts Evidence Practice Center, Tufts University School of Medicine, Tufts Medical Center, Boston, MA (M.R.); Laboratory of Neurogenetics (M.N.) and Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, National Institutes of Health, Bethesda, MD; Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge (S.K.); Center for Complex Disease Genomics, McKusick-Na
Myriam Fornage
Joshua C Bis
Seung Hoan Choi
Bruce M Psaty
James B Meigs
Madhu Rao
Mike Nalls
Joao D Fontes
Christopher J O'Donnell
Sekar Kathiresan
Georg B Ehret
Caroline S Fox
Rainer Malik
Martin Dichgans
Helena Schmidt
Jari Lahti
Susan R Heckbert
Thomas Lumley
Kenneth Rice
Jerome I Rotter
Kent D Taylor
Aaron R Folsom
Eric Boerwinkle
Wayne D Rosamond
Eyal Shahar
Rebecca F Gottesman
Peter J Koudstaal
Najaf Amin
Renske G Wieberdink
Abbas Dehghan
Albert Hofman
André G Uitterlinden
Anita L Destefano
Stephanie Debette
Luting Xue
Alexa Beiser
Philip A Wolf
Charles Decarli
M Arfan Ikram
Sudha Seshadri
Thomas H Mosley
W T Longstreth
Cornelia M van Duijn
Lenore J Launer
National Institutes of Health · USGroup Health Cooperative · USHarvard University Press · USJohns Hopkins University · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI MEYER, OANH L · 1991 to 2020
$28.3M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
UCLA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033176 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$15.5M
EPIDEMIOLOGY OF DEMENTIA IN THE FRAMINGHAM STUDYR01AG008122 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, SESHADRI, SUDHA · 1989 to 2015
$14.4M
MRI, Genetics &Cognitive Precursors of AD &DementiaR01AG016495 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 1999 to 2016
$12.5M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9M
Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Intramural NIH HHS Z01 AG000954Intramural NIH HHS Z01 AG007270NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1RR025005NCRR NIH HHS UL1 RR033176NCRR NIH HHS UL1RR033176NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01HG004402NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HL080295NHLBI NIH HHS HL087652NHLBI NIH HHS HL105756NHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085084NHLBI NIH HHS N01 HC085085NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01HC15103NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS N01HC35129NHLBI NIH HHS N01HC45133NHLBI NIH HHS N01HC85084NHLBI NIH HHS N01HC85085NHLBI NIH HHS N01HC85239NHLBI NIH HHS N02-HL-6-4278NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL070825NHLBI NIH HHS R01 HL080295NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01HL087641NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL093029NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01HL59367NHLBI NIH HHS R01HL70825NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL096917NIA NIH HHS AG023629NIA NIH HHS AG027058NIA NIH HHS AG033193NIA NIH HHS AG081220NIA NIH HHS AG15928NIA NIH HHS AG16495NIA NIH HHS AG20098NIA NIH HHS P30 AG010129NIA NIH HHS R01 AG008122NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG016495NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027058NIA NIH HHS R01 AG033193NIA NIH HHS R56 AG020098NIA NIH HHS R56 AG023629NIA NIH HHS U01 AG049505NIA NIH HHS Z01 AG000954-06NIDDK NIH HHS DK063491NIDDK NIH HHS K24 DK080140NIDDK NIH HHS K24DK080140NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK078616NINDS NIH HHS R01 NS017950PHS HHS HHSN268200625226C
6 · The paper itself

Abstract

background and purposeBeyond the Framingham Stroke Risk Score, prediction of future stroke may improve with a genetic risk score (GRS) based on single-nucleotide polymorphisms associated with stroke and its risk factors.

methodsThe study includes 4 population-based cohorts with 2047 first incident strokes from 22,720 initially stroke-free European origin participants aged ≥55 years, who were followed for up to 20 years. GRSs were constructed with 324 single-nucleotide polymorphisms implicated in stroke and 9 risk factors. The association of the GRS to first incident stroke was tested using Cox regression; the GRS predictive properties were assessed with area under the curve statistics comparing the GRS with age and sex, Framingham Stroke Risk Score models, and reclassification statistics. These analyses were performed per cohort and in a meta-analysis of pooled data. Replication was sought in a case-control study of ischemic stroke.

resultsIn the meta-analysis, adding the GRS to the Framingham Stroke Risk Score, age and sex model resulted in a significant improvement in discrimination (all stroke: Δjoint area under the curve=0.016, P=2.3×10(-6); ischemic stroke: Δjoint area under the curve=0.021, P=3.7×10(-7)), although the overall area under the curve remained low. In all the studies, there was a highly significantly improved net reclassification index (P<10(-4)).

conclusionsThe single-nucleotide polymorphisms associated with stroke and its risk factors result only in a small improvement in prediction of future stroke compared with the classical epidemiological risk factors for stroke.

Indexed as

AgedAged, 80 and overAge FactorsArea Under CurveCase-Control StudiesCohort StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideRegression AnalysisRisk Factorsgenetic epidemiologyrisk factorsstroke

Identifiers

PMID24436238
PMCPMC3955258
OpenAlexW2002033810

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.